MOA: Massive Online Analysis

Massive Online Analysis (MOA) is a software environment for implementing algorithms and running experiments for online learning from evolving data streams. MOA includes a collection of offline and online methods as well as tools for evaluation. In particular, it implements boosting, bagging, and Hoeffding Trees, all with and without Na

• Type: Journal
• Year: 2010
• Where: JMLR
• Authors: Albert Bifet, Geoff Holmes, Richard Kirkby, Bernhard Pfahringer
• Keywords: GNU GPL License, JMLR 2010, Massive Online Analysis, Na¨ive Bayes Classifiers